Triple
T17210271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kutno railway station |
E417709
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kutno |
E258676
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Kutno | Statement: [Kutno railway station, locatedIn, Kutno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kutno Context triple: [Kutno railway station, locatedIn, Kutno]
-
A.
Kutno
chosen
Kutno is a town in central Poland known for its strategic location as a railway junction and its proximity to major World War II battle sites.
-
B.
Kutyna
Kutyna is the surname of Donald J. Kutyna, a U.S. Air Force general known for his role in the investigation of the Space Shuttle Challenger disaster.
-
C.
Krasnobród
Krasnobród is a small town in southeastern Poland known for its historical role in World War II and as a local tourist and spa destination in the Roztocze region.
-
D.
Nowa Ruda
Nowa Ruda is a town in southwestern Poland, in the Lower Silesian Voivodeship, known for its historical coal mining industry and picturesque setting in the Owl Mountains.
-
E.
Zgorzelec
Zgorzelec is a town in southwestern Poland on the Lusatian Neisse River, forming a twin city with Görlitz in Germany and serving as an important local cultural and transport hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42dc4792081909443df7937768ede |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fe217308190b6ae1e98d0c421e4 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:38 a.m.